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dc.contributor.authorArriaza Gómez, Antonio Jesús 
dc.contributor.authorNavarro, Jorge
dc.contributor.authorSuárez Llorens, Alfonso 
dc.contributor.otherEstadística e Investigación Operativaes_ES
dc.date.accessioned2024-09-16T08:22:31Z
dc.date.available2024-09-16T08:22:31Z
dc.date.issued2018
dc.identifier.issn1520-6750
dc.identifier.urihttp://hdl.handle.net/10498/33241
dc.description.abstractIn this paper we study stochastic comparisons of the coherent systems obtained under different repair policies. We consider minimal repairs of the components, that is, a failed component is replaced by another component which is similar (i.e. it has the same distribution) to the replaced one and with the same age. Under these assumptions, we study how to determine the best replacement policies. Two general methods are proposed, one for systems with identically distributed components and another one for systems with ordered (in different stochastic senses) components. Both methods can be applied to systems with independent or dependent components. We use these methods to determine the optimal repair policies in some particular cases. We pay special attention to series and parallel systems with independent or dependent components. An algorithm to find the optimal replacement policy (when it exists) is provided.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceNaval Research Logistics - 2018, Vol. 65 n. 6-7 pp. 550-565es_ES
dc.subjectCoherent systemses_ES
dc.subjectMinimal repaires_ES
dc.subjectStochastic orderses_ES
dc.subjectDistorted distributionses_ES
dc.subjectCopulases_ES
dc.titleStochastic comparisons of replacement policies in coherent systems under minimal repaires_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1002/NAV.21820
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2014-57559-P/ES/MODELOS PARA LA VARIABILIDAD Y LA ADMINISTRACION DEL RIESGO/ es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//MTM2016-79943-Pes_ES
dc.type.hasVersionSMURes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional